Instructions to use rbcurzon/opus-ph-ph with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use rbcurzon/opus-ph-ph with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSeq2SeqLM tokenizer = AutoTokenizer.from_pretrained("rbcurzon/opus-ph-ph") model = AutoModelForSeq2SeqLM.from_pretrained("rbcurzon/opus-ph-ph", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download source.spm from rbcurzon/opus-ph-ph: direct link, hf CLI and curl.
- Browser
- Download file 1.32 MB
-
https://huggingface.co/rbcurzon/opus-ph-ph/resolve/main/source.spm
- Command line
-
hf download hf://rbcurzon/opus-ph-ph/source.spm
-
curl -L -o source.spm https://huggingface.co/rbcurzon/opus-ph-ph/resolve/main/source.spm
1.32 MB
- Xet hash:
- fbdeac59ed71c5a2e2b88a28742040dd7718170dfabc9e1cbe4c7211acc0d6ea
- Size of remote file:
- 1.32 MB
- SHA256:
- 4fcc8ca830e320086a44a4e9a1e611e1de4ac6e229fdd8fde8aaf5651c6fbdec
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